A novel reporting workflow for automated integration of artificial intelligence results into structured radiology reports.

Objectives: Artificial intelligence (AI) has tremendous potential to help radiologists in daily clinical routine. However, a seamless, standardized, and time-efficient way of integrating AI into the radiology workflow is often lacking. This constrains the full potential of this technology.

Implementation of structured reporting in clinical routine: a review of 7 years of institutional experience.

Background: To evaluate the implementation process of structured reporting (SR) in a tertiary care institution over a period of 7 years.

Methods: We analysed the content of our image database from January 2016 to December 2022 and compared the numbers of structured reports and free-text reports. For the ten most common SR templates, usage proportions were calculated on a quarterly basis.

Fully automated AI-based splenic segmentation for predicting survival and estimating the risk of hepatic decompensation in TACE patients with HCC.

Objectives: Splenic volume (SV) was proposed as a relevant prognostic factor for patients with hepatocellular carcinoma (HCC). We trained a deep-learning algorithm to fully automatically assess SV based on computed tomography (CT) scans. Then, we investigated SV as a prognostic factor for patients with HCC undergoing transarterial chemoembolization (TACE).

Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs.

Background: Data used for training of deep learning networks usually needs large amounts of accurate labels. These labels are usually extracted from reports using natural language processing or by time-consuming manual review. The aim of this study was therefore to develop and evaluate a workflow for using data from structured reports as labels to be used in a deep learning application.

A proof of concept for epidemiological research using structured reporting with pulmonary embolism as a use case.

Objective: This paper studies the possibilities of an integrated IT-based workflow for epidemiological research in pulmonary embolism (PE) using freely available tools and structured reporting (SR).

Methods: We included a total of 521 consecutive cases which had been referred to the radiology department for CT pulmonary angiography with suspected PE. Free-text reports were transformed into structured reports using a freely available IHE Management of Radiology Report Templates-compliant reporting platform.

Guidelines Regarding §16 of the German Transplantation Act - Initial Experiences with Structured Reporting.

 To transfer the report sheet from the guidelines regarding the German Transplantation Act to a standards-compliant report template and to evaluate it in the clinical routine.  The template was developed using the freely available software brackets.io.